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Showing 2,681 - 2,700 results of 3,884 for search '(( significant decrease decrease ) OR ( significant genes decrease ))~', query time: 0.27s Refine Results
  1. 2681
    Data Sheet 1_Epigenetic age acceleration and neurotrophin signaling pathways in cancer-related cognitive impairment: a longitudinal, prospective cohort study.csv

    Data Sheet 1_Epigenetic age acceleration and neurotrophin signaling pathways in cancer-related cognitive impairment: a longitudinal, prospective cohort study.csv by Michael Sayer (11493436)

    Published 2025
    “…</p>Results<p>PhenoAge and GrimAge demonstrated significant age acceleration relative to non-cancer controls and worsening cognitive function symptoms, with accelerated GrimAge associated with decreasing BDNF levels. …”
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  2. 2682
    Table 1_Metabolome and transcriptome analysis reveal the pigments biosynthesis pathways in different color fruit peels of Clausena lansium L. Skeels.docx

    Table 1_Metabolome and transcriptome analysis reveal the pigments biosynthesis pathways in different color fruit peels of Clausena lansium L. Skeels.docx by Zhichang Zhao (8545662)

    Published 2025
    “…Despite the significant increase of FLS expression in PP, the contents of kaempferol, quercetin, and myricetin significantly decreased, suggesting that the increase of FLS expression did not lead to an increase in flavonol biosynthesis.…”
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  3. 2683
    Table 1_Epigenetic age acceleration and neurotrophin signaling pathways in cancer-related cognitive impairment: a longitudinal, prospective cohort study.docx

    Table 1_Epigenetic age acceleration and neurotrophin signaling pathways in cancer-related cognitive impairment: a longitudinal, prospective cohort study.docx by Michael Sayer (11493436)

    Published 2025
    “…</p>Results<p>PhenoAge and GrimAge demonstrated significant age acceleration relative to non-cancer controls and worsening cognitive function symptoms, with accelerated GrimAge associated with decreasing BDNF levels. …”
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  4. 2684
    Table 2_Epigenetic age acceleration and neurotrophin signaling pathways in cancer-related cognitive impairment: a longitudinal, prospective cohort study.docx

    Table 2_Epigenetic age acceleration and neurotrophin signaling pathways in cancer-related cognitive impairment: a longitudinal, prospective cohort study.docx by Michael Sayer (11493436)

    Published 2025
    “…</p>Results<p>PhenoAge and GrimAge demonstrated significant age acceleration relative to non-cancer controls and worsening cognitive function symptoms, with accelerated GrimAge associated with decreasing BDNF levels. …”
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  5. 2685
    Data Sheet 2_Epigenetic age acceleration and neurotrophin signaling pathways in cancer-related cognitive impairment: a longitudinal, prospective cohort study.csv

    Data Sheet 2_Epigenetic age acceleration and neurotrophin signaling pathways in cancer-related cognitive impairment: a longitudinal, prospective cohort study.csv by Michael Sayer (11493436)

    Published 2025
    “…</p>Results<p>PhenoAge and GrimAge demonstrated significant age acceleration relative to non-cancer controls and worsening cognitive function symptoms, with accelerated GrimAge associated with decreasing BDNF levels. …”
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  6. 2686
    Table 8_Integrated analysis of single-cell and bulk transcriptomics reveals the prognostic value and underlying mechanisms of crotonylation in ovarian cancer.xlsx

    Table 8_Integrated analysis of single-cell and bulk transcriptomics reveals the prognostic value and underlying mechanisms of crotonylation in ovarian cancer.xlsx by Xiaofeng Li (342614)

    Published 2025
    “…Cellular crotonylation activity was quantified using AUCell algorithm. Potential prognostic genes were identified through DEG analysis and Weighted gene correlation network analysis (WGCNA), and the associated molecular mechanisms were elucidated via Gene set enrichment analysis (GSEA). …”
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  7. 2687
    Table 9_Integrated analysis of single-cell and bulk transcriptomics reveals the prognostic value and underlying mechanisms of crotonylation in ovarian cancer.xlsx

    Table 9_Integrated analysis of single-cell and bulk transcriptomics reveals the prognostic value and underlying mechanisms of crotonylation in ovarian cancer.xlsx by Xiaofeng Li (342614)

    Published 2025
    “…Cellular crotonylation activity was quantified using AUCell algorithm. Potential prognostic genes were identified through DEG analysis and Weighted gene correlation network analysis (WGCNA), and the associated molecular mechanisms were elucidated via Gene set enrichment analysis (GSEA). …”
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  8. 2688
    Table 7_Integrated analysis of single-cell and bulk transcriptomics reveals the prognostic value and underlying mechanisms of crotonylation in ovarian cancer.csv

    Table 7_Integrated analysis of single-cell and bulk transcriptomics reveals the prognostic value and underlying mechanisms of crotonylation in ovarian cancer.csv by Xiaofeng Li (342614)

    Published 2025
    “…Cellular crotonylation activity was quantified using AUCell algorithm. Potential prognostic genes were identified through DEG analysis and Weighted gene correlation network analysis (WGCNA), and the associated molecular mechanisms were elucidated via Gene set enrichment analysis (GSEA). …”
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  9. 2689
    Table 3_Integrated analysis of single-cell and bulk transcriptomics reveals the prognostic value and underlying mechanisms of crotonylation in ovarian cancer.csv

    Table 3_Integrated analysis of single-cell and bulk transcriptomics reveals the prognostic value and underlying mechanisms of crotonylation in ovarian cancer.csv by Xiaofeng Li (342614)

    Published 2025
    “…Cellular crotonylation activity was quantified using AUCell algorithm. Potential prognostic genes were identified through DEG analysis and Weighted gene correlation network analysis (WGCNA), and the associated molecular mechanisms were elucidated via Gene set enrichment analysis (GSEA). …”
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  10. 2690
    Image 1_Integrated analysis of single-cell and bulk transcriptomics reveals the prognostic value and underlying mechanisms of crotonylation in ovarian cancer.jpeg

    Image 1_Integrated analysis of single-cell and bulk transcriptomics reveals the prognostic value and underlying mechanisms of crotonylation in ovarian cancer.jpeg by Xiaofeng Li (342614)

    Published 2025
    “…Cellular crotonylation activity was quantified using AUCell algorithm. Potential prognostic genes were identified through DEG analysis and Weighted gene correlation network analysis (WGCNA), and the associated molecular mechanisms were elucidated via Gene set enrichment analysis (GSEA). …”
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  11. 2691
    Image 2_Integrated analysis of single-cell and bulk transcriptomics reveals the prognostic value and underlying mechanisms of crotonylation in ovarian cancer.tif

    Image 2_Integrated analysis of single-cell and bulk transcriptomics reveals the prognostic value and underlying mechanisms of crotonylation in ovarian cancer.tif by Xiaofeng Li (342614)

    Published 2025
    “…Cellular crotonylation activity was quantified using AUCell algorithm. Potential prognostic genes were identified through DEG analysis and Weighted gene correlation network analysis (WGCNA), and the associated molecular mechanisms were elucidated via Gene set enrichment analysis (GSEA). …”
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  12. 2692
    Table 2_Integrated analysis of single-cell and bulk transcriptomics reveals the prognostic value and underlying mechanisms of crotonylation in ovarian cancer.csv

    Table 2_Integrated analysis of single-cell and bulk transcriptomics reveals the prognostic value and underlying mechanisms of crotonylation in ovarian cancer.csv by Xiaofeng Li (342614)

    Published 2025
    “…Cellular crotonylation activity was quantified using AUCell algorithm. Potential prognostic genes were identified through DEG analysis and Weighted gene correlation network analysis (WGCNA), and the associated molecular mechanisms were elucidated via Gene set enrichment analysis (GSEA). …”
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  13. 2693
    Image 3_Integrated analysis of single-cell and bulk transcriptomics reveals the prognostic value and underlying mechanisms of crotonylation in ovarian cancer.tif

    Image 3_Integrated analysis of single-cell and bulk transcriptomics reveals the prognostic value and underlying mechanisms of crotonylation in ovarian cancer.tif by Xiaofeng Li (342614)

    Published 2025
    “…Cellular crotonylation activity was quantified using AUCell algorithm. Potential prognostic genes were identified through DEG analysis and Weighted gene correlation network analysis (WGCNA), and the associated molecular mechanisms were elucidated via Gene set enrichment analysis (GSEA). …”
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  14. 2694
    Table 5_Integrated analysis of single-cell and bulk transcriptomics reveals the prognostic value and underlying mechanisms of crotonylation in ovarian cancer.csv

    Table 5_Integrated analysis of single-cell and bulk transcriptomics reveals the prognostic value and underlying mechanisms of crotonylation in ovarian cancer.csv by Xiaofeng Li (342614)

    Published 2025
    “…Cellular crotonylation activity was quantified using AUCell algorithm. Potential prognostic genes were identified through DEG analysis and Weighted gene correlation network analysis (WGCNA), and the associated molecular mechanisms were elucidated via Gene set enrichment analysis (GSEA). …”
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  15. 2695
    Table 4_Integrated analysis of single-cell and bulk transcriptomics reveals the prognostic value and underlying mechanisms of crotonylation in ovarian cancer.xlsx

    Table 4_Integrated analysis of single-cell and bulk transcriptomics reveals the prognostic value and underlying mechanisms of crotonylation in ovarian cancer.xlsx by Xiaofeng Li (342614)

    Published 2025
    “…Cellular crotonylation activity was quantified using AUCell algorithm. Potential prognostic genes were identified through DEG analysis and Weighted gene correlation network analysis (WGCNA), and the associated molecular mechanisms were elucidated via Gene set enrichment analysis (GSEA). …”
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  16. 2696
    Image 4_Integrated analysis of single-cell and bulk transcriptomics reveals the prognostic value and underlying mechanisms of crotonylation in ovarian cancer.tif

    Image 4_Integrated analysis of single-cell and bulk transcriptomics reveals the prognostic value and underlying mechanisms of crotonylation in ovarian cancer.tif by Xiaofeng Li (342614)

    Published 2025
    “…Cellular crotonylation activity was quantified using AUCell algorithm. Potential prognostic genes were identified through DEG analysis and Weighted gene correlation network analysis (WGCNA), and the associated molecular mechanisms were elucidated via Gene set enrichment analysis (GSEA). …”
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  17. 2697
    Table 6_Integrated analysis of single-cell and bulk transcriptomics reveals the prognostic value and underlying mechanisms of crotonylation in ovarian cancer.csv

    Table 6_Integrated analysis of single-cell and bulk transcriptomics reveals the prognostic value and underlying mechanisms of crotonylation in ovarian cancer.csv by Xiaofeng Li (342614)

    Published 2025
    “…Cellular crotonylation activity was quantified using AUCell algorithm. Potential prognostic genes were identified through DEG analysis and Weighted gene correlation network analysis (WGCNA), and the associated molecular mechanisms were elucidated via Gene set enrichment analysis (GSEA). …”
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  18. 2698
    Table 1_Integrated analysis of single-cell and bulk transcriptomics reveals the prognostic value and underlying mechanisms of crotonylation in ovarian cancer.xlsx

    Table 1_Integrated analysis of single-cell and bulk transcriptomics reveals the prognostic value and underlying mechanisms of crotonylation in ovarian cancer.xlsx by Xiaofeng Li (342614)

    Published 2025
    “…Cellular crotonylation activity was quantified using AUCell algorithm. Potential prognostic genes were identified through DEG analysis and Weighted gene correlation network analysis (WGCNA), and the associated molecular mechanisms were elucidated via Gene set enrichment analysis (GSEA). …”
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  19. 2699
    Table 5_Immune-related diagnostic indicators and targeted therapies for COPD combined with NASH were identified and verified via WGCNA and LASSO.xlsx

    Table 5_Immune-related diagnostic indicators and targeted therapies for COPD combined with NASH were identified and verified via WGCNA and LASSO.xlsx by Jianwei Hong (6918776)

    Published 2025
    “…Introduction<p>The incidence of chronic obstructive pulmonary disease (COPD) and non-alcoholic fatty liver disease (NAFLD) has increased significantly in past decades, posing a significant public health burden. …”
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  20. 2700
    Table 1_Immune-related diagnostic indicators and targeted therapies for COPD combined with NASH were identified and verified via WGCNA and LASSO.xlsx

    Table 1_Immune-related diagnostic indicators and targeted therapies for COPD combined with NASH were identified and verified via WGCNA and LASSO.xlsx by Jianwei Hong (6918776)

    Published 2025
    “…Introduction<p>The incidence of chronic obstructive pulmonary disease (COPD) and non-alcoholic fatty liver disease (NAFLD) has increased significantly in past decades, posing a significant public health burden. …”
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